Book Content
chapters • 19h16m total length
1. PI
2. Basics of SQL to transform data
3. Setting up your dbt Cloud development environment
4. Data modelling for data engineering
5. Analytics Engineering as the New Core of Data Engineering
6. Transforming data with dbt
7. Writing Maintainable Code
8. Working with Dimensional Data
9. Delivering Consistency In Your Code
10. Delivering Reliability In Your Data
11. Agile development
12. Collaboration
13. Deployment, Execution and Documentation Automation
14. Moving beyond basics
15. Enhancing Software Quality
16. Patterns for frequent use cases
